Jul 17, 2026
•3 minute read
SAP Maintenance Management
SAP Maintenance Management: Maximizing Asset Uptime Through Smarter Scheduling, Mobile Execution and Predictive Insight
Maintenance management sits at the heart of enterprise asset performance, connecting work order planning, technician execution and real-time analytics into a single operational framework. SAP Maintenance Management, delivered through SAP S/4HANA Cloud and the broader SAP Enterprise Asset Management suite, enables organizations to move from reactive repair cycles to proactive and predictive strategies that reduce downtime, extend asset lifecycles and control costs. SAPinsider research and member case studies show that manufacturers, refineries and food and beverage companies are using SAP maintenance tools to cut mean time to repair, improve scheduling efficiency and drive measurable returns on maintenance investment. See Latest Related Content Below.
What Is SAP Maintenance Management?
SAP Maintenance Management refers to the capabilities within SAP Enterprise Asset Management that enable organizations to plan, schedule and execute maintenance activities across physical assets. Built on SAP S/4HANA Cloud, the platform covers demand processing, smart scheduling with resource allocation for people, tools and materials, and mobile execution for both planned and unplanned maintenance tasks. Real-time analytics give visibility into maintenance costs, breakdown rates and asset performance, while IoT integration and AI-driven predictive maintenance allow teams to detect and address equipment issues before failures occur, minimizing downtime and operational risk.
What Use Cases Are Referenced?
How AmBev Reduced Maintenance Repair Time by 80% With Mobile EAM
AmBev implemented Sigga’s Mobile EAM solution, integrated directly with SAP PM, to replace paper-based workflows across more than 4,000 maintenance employees. The result was an 80% reduction in mean time to repair, cutting the recovery period from 24 days to five, along with a 15% gain in technician productivity and a 10% improvement in mean time between failures.
How Owens Corning Used AI-Powered Predictive Maintenance to Move to a Reliability-as-a-Service Model
Owens Corning deployed SAP Intelligent Asset Management with wireless IoT sensors and AI-driven condition monitoring across multiple manufacturing plants, achieving $2 million in annual savings per plant by eliminating unnecessary preventive maintenance. The approach delivered 30-50% reductions in unplanned downtime and 20-40% improvement in workforce efficiency through automated work orders.
Motor Oil Tests SAP Predictive Maintenance to Reduce Refinery Downtime
Motor Oil deployed SAP Business Technology Platform and SAP HANA Cloud to analyze sensor data from its Corinth refinery, the largest privately owned industrial complex in Greece. Working with Accenture, the company increased prediction accuracy for abnormal events by more than 77% and gained up to 120 hours of lead time to respond to upcoming technical issues before shutdowns occurred.
From Firefighting to Future-Focused: How Sigga Modernized Maintenance for Ingredion
Ingredion shifted from a reactive maintenance culture to a proactive one by deploying Sigga’s mobile EAM and planning tools integrated with SAP. The transformation cut scheduling time from two days to two hours, doubled notification reporting from field technicians, reduced reliance on external contractors and drove a broader cultural shift that resulted in production records being broken.
Activating Autonomous Maintenance on Your SAP Shop Floor
The SAP Plant Maintenance module is the system of record for asset management, but gaps between planned work orders and real-time shop floor execution drive unplanned downtime and elevated MTTR. Integrating Parsable’s connected worker platform with SAP PM enables autonomous maintenance, empowering operators to capture real-time data, execute digital checklists and enrich the SAP system with accurate, timestamped maintenance records.
What SAPinsider Research Supports This Topic?
Elevating Enterprise Asset Management in the Digital Age
This SAPinsider benchmark report, based on input from 159 members of the SAPinsider community, documents how organizations are transforming enterprise asset management. The findings identify the maintenance strategies, mobile tools and digital technologies that asset-intensive organizations are prioritizing to reduce downtime, improve scheduling efficiency and move from reactive to predictive operations.
The Emerging Role of AI in Enterprise Asset Management
SAPinsider analyst research finds that only 7% of respondents have completed AI and machine learning deployments in EAM, even as many more are actively planning them. The findings point to significant untapped potential for AI-driven predictive maintenance, intelligent scheduling and condition-based monitoring within SAP maintenance environments.
Why Predictive Maintenance With SAP PM Is a Game Changer
SAPinsider coverage of Sigga’s research finds that organizations using modern predictive maintenance consistently report downtime reductions of up to 45% and cost reductions of up to 30%, with a potential 10-times return on investment cited by the U.S. Department of Energy. Native integration with SAP Plant Maintenance is identified as essential for maximizing the impact of any predictive maintenance program.
See Latest Related Content Below
Prometheus Group Bets on AI to Close the Maintenance Planning Gap in SAP PlantsPrometheus Group says its GWOS-AI solution compresses SAP PM scheduling work from hours to minutes, positioning human-supervised AI as the answer to shrinking planner tenure and stalled EAM AI adoption.
Prove It: Measuring Maintenance Modernization in an Outcome-Driven MarketMaintenance organizations operating complex, heavy-asset environments are investing in AI, predictive maintenance, mobile execution tools, analytics, and automation — but technology investment alone is not enough. For SAP customers, the real challenge is proving that modernization is creating measurable business value. Executive leaders expect to see the connection between SAP EAM improvements and outcomes that matter: asset availability, reduced downtime, lower total cost of ownership, and P&L impact. In this on-demand session, Rajiv Kumar, Senior Vice President of Customer Operations at Sigga Technologies, and Caleb Jones, Vice President, Strategic Industry Executive for Manufacturing, Energy, Hi-Tech, and Utilities at UiPath, explore how maintenance leaders can move beyond operational activity metrics and build a credible, outcome-driven business case for modernization.
Whether you are deploying predictive maintenance capabilities in SAP PM, rolling out mobile EAM to field technicians, or enabling AI-driven optimization of your preventive maintenance program, the questions you will face from finance and C-level leadership are the same: What baseline did we start from? What changed? What did it cost — and what did it return? Watch this session on demand for a practical framework for defining the right maintenance KPIs, establishing credible baselines before launching AI or automation initiatives, and connecting work execution data in SAP to the metrics that resonate with CFOs, Boards, and executive leadership.
What You Will Learn
- How to distinguish between maintenance activity metrics and true business outcome KPIs — and why the difference matters when justifying modernization investments
- How to establish a credible performance baseline before deploying AI, predictive maintenance, or mobile EAM tools in SAP
- How to separate direct financial benefits (cost reduction, downtime avoidance) from indirect operational benefits in a maintenance business case
- Why consistent work execution data — how work is planned, performed, captured, and closed in SAP — is the foundation for measuring AI-enabled modernization credibly
- How to communicate maintenance outcomes and asset performance improvements in the language of operations, finance, and executive leadership
- How leading SAP customers in manufacturing, energy, and utilities are connecting EAM modernization to measurable results — including improved asset availability, reduced maintenance repair times, and stronger compliance outcomes.
Jun 11, 2026
•2 minute read
Garuda Indonesia Turns to RISE with SAP as Part of Recovery PlanGaruda Indonesia, Indonesia’s national flag carrier, is modernizing its core enterprise systems through RISE with SAP — a move announced May 25, 2026 that comes as the airline works to reverse a $322.4 million net loss. The deployment migrates finance, procurement, supply chain, and selected customer-related operations to SAP Cloud ERP Private in a private […]
Jun 5, 2026
•3 minute read
Should You Upgrade or Replace Your Aging SAP P&S Software?As manufacturers navigate the critical decision of upgrading or replacing their SAP maintenance planning and scheduling systems, the focus should be on total cost of ownership, user experience, essential future requirements, and maintaining SAP as the backbone to ensure seamless integration and operational efficiency.
Sep 19, 2025
•3 minute read
Why Predictive Maintenance with SAP PM is a Game ChangerPredictive Maintenance (PdM) leverages IoT sensors and AI to optimize maintenance strategies, yielding up to 45% downtime reduction and 30% cost savings, making it essential for competitive advantage, especially when integrated with SAP systems.
Aug 20, 2025
•3 minute read
Maintenance Planning & Scheduling Software: Upgrade or Replace?If your current maintenance planning and scheduling solution is aging or there is a requirement to upgrade at your next renewal, should you renew? Or is it time to consider a new solution? What if you don’t have a solution in place and need to determine if now is the right time to implement one? Deciding whether to upgrade or replace key business solutions is a critical juncture for asset-intensive companies. This is especially true for maintenance planning and scheduling solutions. The right system can significantly increase efficiency, reduce costs, and improve asset reliability. The wrong system can lead to operational bottlenecks, frustrated teams, and mounting expenses. Since every company has a different situation, establishing a framework to make the right decision is crucial. This webinar on-demand helps you navigate the key considerations and make the best choice for your operations.
Watch the session to:
- Determine all your options and understand if there are features that are non-negotiable.
- Research vendors with applicable solutions and what is best for your users.
- Calculate and track the ROI of your choices.
Jul 25, 2025
•2 minute read
How AmBev Reduced Maintenance Repair Time by 80% with Mobile EAMAmBev, facing significant operational inefficiencies in its maintenance processes due to reliance on paper workflows and delayed data entry, successfully implemented Sigga's Mobile EAM solution to integrate with SAP PM, resulting in an 80% reduction in mean time to repair, improved asset reliability, and enhanced technician productivity.
Jun 17, 2025
•3 minute read
Modernizing Manufacturing with Connected Workers and SAPThe imminent retirement of skilled technicians in manufacturing poses a significant risk of operational disruption and financial loss due to knowledge gaps, which can be mitigated through the deployment of digital platforms like Parsable that enhance knowledge transfer, streamline maintenance processes, and integrate real-time data with SAP systems.
Jun 12, 2025
•4 minute read
Moving Beyond Legacy Limitations for SAP EAM SystemsManufacturing organizations face challenges in leveraging SAP's EAM and PM systems due to rising costs, stagnant technology, and vendor focus shifting away from SAP. However, Sigga's solutions like a no-code mobile EAM tool and advanced planning software aid companies in optimizing their SAP investments.
Apr 16, 2025
•3 minute read
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